Artificial Intelligence & Machine Learning
Most machine learning projects do not fail at the model. They fail at everything around it — the data that arrives late, the feature that quietly changes meaning, the model nobody retrained for eleven months. We build the whole system: data pipelines, training, evaluation, deployment and the monitoring that tells you when reality has moved away from what the model learned. If a simpler approach solves your problem, we will tell you that instead.
How we work on this
- Feasibility review — is there signal in your data, and is ML the right tool
- Prototype — a working model on your data, evaluated honestly
- Production build — pipelines, serving, monitoring and handover
- Ongoing operation — retraining, evaluation and improvement
Our Capabilities
Comprehensive AI & ML capabilities backed by deep expertise and proven methodologies.
Technologies We Use
We leverage industry-leading tools and frameworks to build robust, scalable solutions.
What we would tell you in the first meeting
The interesting question is rarely which algorithm. It is whether the problem is worth solving with a model at all, whether the data that would feed it is reliable, and who will own the thing eighteen months from now. We start there, because a model without an owner is a liability with an accuracy score.
AI & ML — Frequently Asked Questions
What AI and machine learning services does Glomax offer?+
Glomax offers end-to-end AI/ML services including large language model (LLM) fine-tuning, generative AI applications, computer vision, NLP, predictive analytics, recommendation engines, MLOps pipelines, conversational AI, and edge AI. We work with GPT-4, Claude, LLaMA, PyTorch, TensorFlow, and all major cloud AI platforms.
How long does an AI project typically take from idea to production?+
A proof-of-concept (POC) typically takes 4–8 weeks. A fully production-deployed AI system with MLOps, monitoring, and CI/CD takes 3–6 months depending on data availability, integration complexity, and approval cycles. We follow an agile sprint model with weekly demos.
Can Glomax integrate AI into our existing software systems?+
Yes. We build API-first AI microservices that connect via REST, gRPC, or message queues to any existing ERP, CRM, e-commerce, or custom stack. Our AI components are containerised (Docker/Kubernetes) for easy drop-in deployment without disrupting live operations.
How does Glomax ensure AI model accuracy and reliability?+
We apply MLOps best practices: rigorous dataset curation, k-fold cross-validation, bias detection, A/B testing in shadow mode, and continuous drift monitoring post-deployment. Every production model includes an automated retraining pipeline and an explainability layer for regulated industries.
Related Services
Ready to Get Started with AI & ML?
Tell us what you are trying to build and what is in your way. We will tell you how we would approach it — including when the answer is that you do not need us.
Talk to an engineer